scholarly journals Prediction of Compaction Parameters of Khon Kaen Loess Soil

2020 ◽  
Vol 17 (12) ◽  
pp. 1367-1378
Author(s):  
Prinya CHINDAPRASIRT ◽  
Apichit KAMPALA ◽  
Anukun ARNGBUNTA ◽  
Suksun HORPIBULSUK
Keyword(s):  
Loess Soil ◽  
Silty Sand ◽  
Unit Weight ◽  
Soil Parameters ◽  
Silty Clay ◽  
Fine Grained ◽  
Dry Unit Weight ◽  
Khon Kaen ◽  
Fine Grained Soil ◽  
Compaction Energy

Soil stratum in Khon Kaen province, located in Northeast of Thailand, is well-known as a wind-deposited fine-grained soil (i.e. silty sand and silty clay). It is normally called “Loess or Khon Kaen Loess”.  This soil in disturbed stage is usually extracted from the borrow pit and subsequently compacted for infrastructure applications. The compaction resulted in silty sand or silty clay aggregation with unpredictable properties. Although required for infrastructure design, studies on Khon Kaen Loess are limited. Thus, this research examines the compaction behavior and predicts soil parameters at various clay contents under a series of compaction energy on Khon Kaen Loess. The results showed that the maximum dry unit weights of samples could be related to the dry unit weight at plastic limit (PL), while the optimum water content (OWC) was correlated linearly with the PL. The samples with higher PL presented the higher OWC. In addition, the maximum dry unit weight and OWC of samples could be estimated using the developed equations validated with the other research results.

Estimating compaction behavior of fine-grained soils based on compaction energy

2008 ◽  
Vol 45 (6) ◽  
pp. 877-887 ◽  
Author(s):  
Osman Sivrikaya ◽  
Ergun Togrol ◽  
Cafer Kayadelen
Keyword(s):  
Engineering Properties ◽  
Unit Weight ◽  
Fine Grained ◽  
Dry Unit Weight ◽  
Compaction Behavior ◽  
Optimum Water Content ◽  
Geotechnical Structures ◽  
Compaction Energy ◽  
Optimum Water

For successful designs of geotechnical structures, rational determination of the engineering properties of soils is an important process. In this context, compaction parameters, maximum dry unit weight (γdmax), and optimum water content (wopt) are required to be determined at various compaction energies. This paper proposes correlation equations that relate γdmax and wopt obtained from standard Proctor (SP) and modified Proctor (MP) tests to the index properties. To develop accurate relations, the data collected from the literature and the authors’ own database have been used. It has been found that while wopt has the best correlation with plastic limit (wp), γdmax can be estimated more accurately from wopt than it can from wp. In addition, the empirical methods including compaction energy (E) are described for estimating wopt and γdmax of fine-grained soils. The variables of the developed models for wopt and γdmax are wp, E, and wopt. It has been shown that the proposed correlations including the compaction energy will be useful for a preliminary design of a project where there is a financial constraint and limited time.

scholarly journals Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

2021 ◽  
Vol 13 (14) ◽  
pp. 7737
Author(s):  
Amin Soltani ◽  
Mahdieh Azimi ◽  
Brendan C. O’Kelly
Keyword(s):  
Energy Levels ◽  
Model Development ◽  
Dry Mass ◽  
Unit Weight ◽  
Power Functions ◽  
Compaction Characteristics ◽  
Practical Applications ◽  
Fine Grained ◽  
Practical Procedure ◽  
Fine Grained Soil

This study aims at modeling the compaction characteristics of fine-grained soils blended with sand-sized (0.075–4.75 mm) recycled tire-derived aggregates (TDAs). Model development and calibration were performed using a large and diverse database of 100 soil–TDA compaction tests (with the TDA-to-soil dry mass ratio ≤ 30%) assembled from the literature. Following a comprehensive statistical analysis, it is demonstrated that the optimum moisture content (OMC) and maximum dry unit weight (MDUW) for soil–TDA blends (across different soil types, TDA particle sizes and compaction energy levels) can be expressed as universal power functions of the OMC and MDUW of the unamended soil, along with the soil to soil–TDA specific gravity ratio. Employing the Bland–Altman analysis, the 95% upper and lower (water content) agreement limits between the predicted and measured OMC values were, respectively, obtained as +1.09% and −1.23%, both of which can be considered negligible for practical applications. For the MDUW predictions, these limits were calculated as +0.67 and −0.71 kN/m3, which (like the OMC) can be deemed acceptable for prediction purposes. Having established the OMC and MDUW of the unamended fine-grained soil, the empirical models proposed in this study offer a practical procedure towards predicting the compaction characteristics of the soil–TDA blends without the hurdles of performing separate laboratory compaction tests, and thus can be employed in practice for preliminary design assessments and/or soil–TDA optimization studies.

Compressive strength behavior of fine-grained frozen soils

1990 ◽  
Vol 27 (4) ◽  
pp. 472-483 ◽  
Author(s):  
Harsha Wijeweera ◽  
Ramesh C. Joshi
Keyword(s):  
Compressive Strength ◽  
Water Content ◽  
Yield Stress ◽  
Constant Strain Rate ◽  
Unit Weight ◽  
Total Water Content ◽  
Total Water ◽  
Frozen Soils ◽  
Fine Grained ◽  
Dry Unit Weight

Constant strain-rate (0.01/s) uniaxial compression-strength tests were conducted on more than 200 saturated samples of six fine-grained frozen soils at temperatures between −5 and −17 °C. Saturated soil samples containing total water contents between 15% and 105% were prepared using a consolidation apparatus specially designed for this purpose. The effect of dry unit weight, total water content, temperature, and soil type on the behavior of peak compressive strength was studied. Test results indicate the peak compressive strength of fine-grained soils is sensitive to changes in the dry unit weight and the total water content. The temperature dependence of the peak compressive strength is represented by a simple power law. An empirical formula has been developed to predict the peak compressive strength of fine-grained frozen soils at a particular temperature using index properties, specific surface area, particle-size distribution, and dry unit weight. A linear relationship exists between the peak compressive stress and the yield stress. Key words: peak compressive strength, yield stress, frozen soils, fine-grained soils, dry unit weight, failure strain, temperature, total water content, slurry consolidation.

scholarly journals Influence of Energy on Compaction Characteristics of High Expansive Soils

2020 ◽  
Vol 9 (5) ◽  
pp. 1344-1348
Keyword(s):  
Moisture Content ◽  
Soil Type ◽  
Expansive Soils ◽  
Unit Weight ◽  
Dry Density ◽  
Maximum Dry Density ◽  
Compaction Characteristics ◽  
Dry Unit Weight ◽  
Comparison Results ◽  
Compaction Energy

Each soil type has different behavior with regard to determination of maximum dry density and optimum moisture content and therefore any soil type has its own compaction requirements for experimental purposes and for control the compaction in the field. The general purpose of this study is to a better understanding of the compaction characteristics of high expansive soils, with emphasis on the relationships of moisture content and dry density of high expansive soils at a range of compaction energy levels. To achieve this purpose, high expansive soils samples were subjected to Atterberg limit and a set of laboratory compaction tests to find compaction characteristics namely; maximum dry unit weight and optimum water content of high expansive soils at different compaction energy (compaction effort) for different number of hammer blows per each layer range from 10 to 50, which varied the energy per unit volume from 356 KN/m3 to 1188 KN/m3.Rather than single peak compaction curves, the most achieved compaction curves are an irregular one and half peak compaction curves. According to the comparison results of different compaction energy, it was concluded that the maximum dry unit weight of high expansive soil was not highly affected by gradually increase of applied energy. The results showed that, the maximum dry density of tested expansive soils sample increased from 1.48g/cm3 to 1.6g/cm3 with increase of compaction energy from 356 KN/m3 to 1188 KN/m3.

scholarly journals Field monitoring and model predicted water balance of monolithic cover

2021 ◽  
Vol 337 ◽  
pp. 04009
Author(s):  
Md Jobair Bin Alam ◽  
Asif Ahmed ◽  
Md Aminul Islam ◽  
Naima Rahman ◽  
Md Sahadat Hossain
Keyword(s):  
Water Balance ◽  
Climatic Conditions ◽  
Soil Water Storage ◽  
Soil Parameters ◽  
Fine Grained ◽  
Future Performance ◽  
Fine Grained Soil ◽  
Actual Field ◽  
Field Water Balance

The use of the evapotranspiration cover for landfill is increasing because of its long-term enhanced performance. However, the performance of evapotranspiration cover primarily depends on the onsite geo-climatic conditions. Therefore, field verification of cover performance through constructed test plots is required before actual implementation. Additionally, numerical modeling and comparison with field results are necessary for future performance prediction. The objective of this study was to simulate the water balance hydrology of evapotranspiration cover using the code SEEP/W. Drainage lysimeter was constructed with fine-grained soil and native vegetation. Field water balance data from the lysimeter were obtained through instrumentation. Onsite climatological data, laboratory and field investigated soil parameters and actual field studied plant parameters were used as model input. Based on one year’s simulation, it was observed that the code nearly captured the seasonal variations in the water balance quantities measured in the field. Surface runoff was reasonably predicted in the model where precipitation intensity appeared to be responsible to some extent. Evapotranspiration was slightly overpredicted and the fluctuation in soil water storage was similar to the field results. The model predicted annual percolation was approximately 45 mm, which is under-predicted than the actual field measured annual percolation of 62 mm.

scholarly journals Remediation of Clayey Soil Using Silica Fume

2018 ◽  
Vol 162 ◽  
pp. 01017
Author(s):  
Kawther Al-Soudany
Keyword(s):  
Silica Fume ◽  
Clayey Soil ◽  
Liquid Limit ◽  
Engineering Properties ◽  
Unit Weight ◽  
Clay Material ◽  
Fine Grained ◽  
Pozzolanic Reactivity ◽  
Fine Grained Soil ◽  
Swell Pressure

This paper evaluates the use of silica fumes as modification of fine-grained soil in order to alter undesirable properties of the native soil and create new useful soils. Silica fume as well as clay material, are used in changing the engineering properties to be compatible and satisfying this is due to their pozzolanic reactivity. The study aims to investigate the uses of these materials in geotechnical engineering and to improve the properties of soils. Four percentages of silica fumes were used in the present study, which is 0, 3, 5 and 7%. Classification, specific gravity, compaction characteristics, swell and swell pressure, CBR and compressive strength tests had been conducted on the prepared and modified soils. Results clarified that the silica fume increasing leads to decrease the plasticity index and liquid limit. Increasing in silica fume causes an increasing in plastic limit and optimum water contents while the maximum dry unit weight values decrease. The compressive shear strength, California Bearing Ratio (CBR), swell and swell pressure is improved by using silica fume so that silica fume can be considered as a successful material in improving the soil properties.

scholarly journals Estimation of Optimum Moisture Content and Maximum Dry Unit Weight of Fine-Grained Soils using Numerical Methods

2021 ◽  
Vol 18 (16) ◽  
Author(s):  
Armand Augustin FONDJO ◽  
Elizabeth THERON ◽  
Richard P. RAY
Keyword(s):  
Soil Compaction ◽  
Construction Projects ◽  
Large Scale ◽  
Unit Weight ◽  
Fine Grained ◽  
Dry Unit Weight ◽  
Optimum Water Content ◽  
Predicted Values ◽  
The Stability ◽  
Optimum Water

Soil compaction is one of the basic engineering techniques, which is carried out to guarantee the stability of soils dependent on specified strength. Nonetheless, in large-scale construction projects, the estimation of compaction features required tremendous effort and time that can be saved utilizing empirical relationships at the initial phases. It becomes critical to develop models to predict the compaction features, namely the maximum dry unit weight (γdmax) and optimum water content (WOP). This article attempts to develop models to predict the γdmax and WOP of fine-grained clay soils. Geotechnical tests such as grain size distribution, Atterberg limits, specific gravity, and proctor compaction tests are performed to assess soil samples' physical and hyro-mechanical characteristics. Multivariate analysis is conducted using MINITAB 18 software to develop the predictive models. The validation process of developed models includes the determination coefficient, probability value (p-value), comparison of the predicted values with experimental values, comparison of the models proposed in this study with other existing models found in the recent literature, and employing a different soil data set. The predicted values obtained from the models proposed in this research project are more accurate than other models developed recently. The proposed models estimate the compaction features of fine-grained clay soils with acceptable precision. HIGHLIGHTS Soil compaction is one of the basic engineering techniques perform to guarantee the stability of soils dependent on specified strength In large-scale construction projects, the estimation of compaction parameters required tremendous effort and time that can be saved utilizing empirical relationships at the initial phases This study has developed semi-empirical models to predict the compaction parameters (maximum dry unit weight and optimum water content) of fine-grained soils GRAPHICAL ABSTRACT

Behavior of a fine-grained soil during the Loma Prieta earthquake

1998 ◽  
Vol 35 (1) ◽  
pp. 146-158 ◽  
Author(s):  
Ross W Boulanger ◽  
Mark W Meyers ◽  
Lelio H Mejia ◽  
Izzat M Idriss
Keyword(s):  
Clayey Soil ◽  
Laboratory Data ◽  
Lateral Spreading ◽  
Liquid Limit ◽  
Silty Clay ◽  
Loma Prieta Earthquake ◽  
Fine Grained ◽  
Fine Grained Soil ◽  
Loma Prieta ◽  
Excess Pore Pressures

Results of an investigation into the behavior of a fine-grained clayey soil at Moss Landing during the 1989 Loma Prieta earthquake are presented. A deposit of this soil underlies portions of the Moss Landing Marine Laboratory that experienced up to 1.3 m of lateral spreading deformations during this magnitude 7 earthquake. Silty clay from the deposit erupted to the surface in a "soil boil" characteristic of liquefaction, during and immediately after the earthquake. A sample from the silty clay boil had a liquid limit of 38, a plasticity index of 17, and a <5 µm fraction of 24%, and thus would be considered nonliquefiable according to commonly used criteria. Analysis of cyclic triaxial test data suggests that portions of the silty clay deposit likely developed high residual excess pore pressures (ru,r approx 80-90%) and significant shear strains during the earthquake and thus likely contributed to the observed lateral deformations. The field and laboratory data show that commonly used criteria for identifying "liquefiable" clayey soils should be applied with caution and should not be indiscriminately viewed as a substitute for detailed laboratory and in situ testing of low plasticity fine-grained soils.Key words: liquefaction, cyclic loading, silt, clay, earthquake, case history.

scholarly journals Prediction of undrained shear strength and correlation in between soil parameters

2021 ◽  
Vol 2040 (1) ◽  
pp. 012024
Author(s):  
Yimam Mohammed Yimer ◽  
A. Paul Makesh ◽  
SalihaShukri Muhammed
Keyword(s):  
Compressive Strength ◽  
Regression Analysis ◽  
Linear Regression ◽  
Unconfined Compressive Strength ◽  
Engineering Properties ◽  
Unit Weight ◽  
Strength Parameter ◽  
Soil Parameters ◽  
Statistical Regression ◽  
Dry Unit Weight

Abstract Correlation of soil parameters has undeniable benefit in the determination of engineering properties of soil to solve problems in geotechnical Engineering area. The tests were conducted within geotechnical laboratory. These tested soil parameters, used in the correlation analysis are unconfined compressive strength, bulk unit weight and dry unit weight. The aim of this study is proposing a relationship in between the strength parameter with some of the index properties of soils using statistical regression analysis. The linear regression analyses have been done for prediction of unconfined compressive strength (qu ) from bulk and dry unit weight as model-1 and model-2 respectively. And dry unit weight was predicted from bulk unit weight as model-3. Model-4 represents the multiple linear regression analysis to predict qu . The health of developed models is measured by coefficient of determination (R 2) values. Though, model-1, model-2, model-3 and model-4 have R – squared values of 0.9112, 0.9333, 0.9109 and 0.9452 respectively. Therefore, they are correlated strongly and positively. The prediction of unconfined compressive strength of these soils correlated in linear regression, are fairly determined with Model-2 compared with model-1 and model-4 (MLR).

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